Evolver Unveils SPECTRA: Advanced AI-Driven Self-Learning SOC Solution for Federal Agencies
RESTON, Va., Feb. 3, 2026 /PRNewswire-PRWeb/ — Evolver has officially launched SPECTRA, an innovative Security Operations Center (SOC) solution leveraging artificial intelligence to enhance cyber defense for U.S. federal programs. This AI-powered, self-learning platform aims to expedite the detection of emerging cyber threats while simultaneously lowering operational costs.
SPECTRA is the result of extensive development at Evolver’s Innovation Center and is integrated within the Integrated Technology Solutions Cybersecurity Suite. It combines the self-supervised AI capabilities of MixMode with Evolver’s round-the-clock SOC operations and automated detection features.
Federal agencies are increasingly burdened by outdated security tools that generate excessive low-value alerts and fail to recognize new and sophisticated attacker tactics. These limitations heighten the risk and contribute to cyber analyst fatigue, particularly in environments that may be contested or disconnected. SPECTRA was specifically designed to address these pressing challenges in cybersecurity.
“SPECTRA fundamentally transforms the economics and efficiency of cyber defense for federal missions,” stated Gregg Garrett, Chief Operating Officer and Chief Innovation Officer at CSS, the parent organization of Evolver. “By integrating MixMode’s self-learning AI with seasoned SOC operations, we empower agencies to prioritize the accurate identification of genuine threats, respond with assurance, and minimize operational distractions.”
The SPECTRA platform analyzes network, endpoint, identity, and cloud telemetry to independently learn behavior patterns. It identifies significant anomalies and emerging cyber threats without depending on conventional signatures or rigid rules, providing high-fidelity detections that support Network Detection and Response (NDR), Network Traffic Analysis (NTA), Security Information and Event Management (SIEM), and User and Entity Behavior Analytics (UEBA). Analysts receive enriched context and timelines to facilitate quicker investigations.
Offered as a fully managed service, SPECTRA encompasses SOC operations from Level 1 to Level 3, detection engineering, and MITRE ATT&CK-aligned threat hunting. The platform streamlines operations through governed SOAR playbooks that automate processes while maintaining rollback and audit capabilities. It is compatible with existing SIEM, EDR, identity, and ticketing systems, adapting seamlessly across enterprise, cloud, edge, and isolated environments.
Tailored for federal cybersecurity requirements, SPECTRA enforces strict access protocols, safeguards sensitive data, and gathers Risk Management Framework (RMF) compliant evidence to support Authority to Operate (ATO) and continuous monitoring. Initial deployments have shown that SPECTRA can reduce alert volumes by over 90%, leading to quicker threat detection, lower SOC operational expenses, and enhanced visibility across mission-critical areas.
“With SPECTRA, we partnered with Evolver to address the shortcomings of traditional signature-based detection and cloud-reliant analytics,” remarked John Phillips, Senior Vice President of U.S. Federal at MixMode. “Our self-learning, context-aware approach adapts to unique operational conditions, significantly cutting down on false positives and alert volumes, thus allowing cyber analysts to focus on actual threats rather than irrelevant noise.”
Evolver, part of CSS and headquartered in Reston, Virginia, has been dedicated to providing advanced IT transformation and cybersecurity solutions to government and commercial clients since its founding in 2000. For further details, visit www.evolverinc.com or follow them on LinkedIn.
Additionally, MixMode specializes in AI-driven cybersecurity solutions, employing a patented, context-aware AI approach that continuously learns and adapts to various environments. The MixMode platform is trusted by large organizations, including those in federal defense and intelligence sectors. For more information, visit www.mixmode.ai.
